Table 4

Parameter estimates and standard errors from linear mixed effects model predicting linear growth (height increase) of girls over the follow up period
Effect (n=1431) Estimate SE P
Fixed Effects
Intercept 110.260 0.9641 <.0001
Food Insecurity −0.8689 0.1907 <.0001
Food Insecurity x Time 0.3750 0.2040 0.0663
Height for age z-scores at baseline 7.3941 0.0758 <.0001
Time 3.4408 0.2325 <.0001
Age of girls at baseline 3.5715 0.0627 <.0001
Household Income Tertile
High (Reference)
 Middle 0.2259 0.2193 0.3032
 Middle x time 0.4781 0.2993 0.1105
 Low 0.6734 0.2275 0.0031
 low x time 0.2218 0.3090 0.4729
Place of Residence
Urban (Reference)
 Semi-urban 0.2694 0.2109 0.2016
 Semi-urban x time 0.9145 0.2877 0.0015
 Rural 0.2242 0.2228 0.3146
 Rural x Time 1.1813 0.3007 <.0001
Random effects
Variance of Random Intercept 2.9134 0.5852
Variance of Random Slope 13.9245 0.7515
Covariance of Random Intercept and Slope 5.6652 0.5789
Variance of measurement errors (residuals) 12.0751 0.4551

Restricted maximum likelihood (REML) method was used in estimating the parameters.

SE = Standard error.

Time = follow up rounds.

Belachew et al.

Belachew et al. Nutrition Journal 2013 12:55   doi:10.1186/1475-2891-12-55

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